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From:
Tammie T Dudley <[log in to unmask]>
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MS Student <[log in to unmask]>
Date:
Thu, 23 Jan 2014 21:05:28 +0000
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                 The GSU chapter of the ACM presents

     Automatically Generating Biomedical Hypotheses from MedLine

                             Dr. Ying Xie
               Associate Professor of Computer Science
                      Kennesaw State University

Computational approaches for generating hypotheses from biomedical literature have been studied intensively in recent years.
Nevertheless, it still remains a challenge to automatically discover novel, cross-silo biomedical hypotheses from large-scale literature repositories. In order to address this challenge, we first model a biomedical literature repository as a comprehensive network of biomedical concepts and formulate hypotheses generation as a process of link discovery on the concept network. We extract the relevant information from the biomedical literature corpus and generate a concept network and concept-author map on a cluster using a MapReduce framework. We extract a set of heterogeneous features such as random- walk-based features, neighborhood features, and common author features. The potential number of links to consider for the possibility of link discovery is large in our concept network and to address the scalability problem, the features from a concept network are extracted using a cluster with a MapReduce framework. We further model link discovery as a classification problem carried out on a training data set automatically extracted from two network snapshots taken in two consecutive time durations. A set of heterogeneous features, which cover both topological and semantic features derived from the concept network, have been studied with respect to their impacts on the accuracy of the proposed supervised link discovery process.

About the Speaker: Dr. Ying Xie is an Associate Professor of Computer Science and the director of the MSCS program at Kennesaw State University. His research interests include big data, cloud computing, bioinformatics, healthcare informatics, and computational intelligence.
	
                      Win a valuable door prize!
      One lucky attendee will win an Amazon Kindle e-book reader.

                      Thursday, January 23, 2014
                         12:00 p.m.-1:00 p.m.
                             Lanier Suite
                       Room 270, Student Center

                          Everyone welcome!
                          Free refreshments!

           For more information about the GSU ACM chapter,
              please visit our website: acm.cs.gsu.edu.	

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